Development of Integrating Data Mining System based on Information Base

基于信息库的集成数据挖掘系统的开发

• 批准号: 13480106
• 负责人: KONISHI Osamu
• 金额: $ 3.07万
• 依托单位: Future University -Hakodate (2002)Kochi University (2001)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2001
• 资助国家: 日本
• 起止时间: 2001 至 2002
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-13480106/
• 关键词: multimedia data mining; multi-dimensional data; satellite images; dynamic time warping; clustering; Self Organizing Maps; content-based indexing; EM algorithm; 蛋白泳動波形; 時系列データ; 類似検索システム; 知識発見・データマイニング; 時系列

Multimedia data mining is data mining from multimedia objects, the discovery of patterns from within multimedia objects or a collection of objects as a whole. This research was devoted to some developments in knowledge discovery techniques and application specifically pertaining to large image and video data collections such as satellite images and multi-dimensional medical data. The main paper "Mining of Moving Objects from Time Series Images and its Application to Satellite Weather Imagery'" addresses the issue of mining video sequences or moving objects in a scene with concrete examples. We consider collections of still images, in particular satellite images, but track moving objects within these images considering sequences of images as frames. We adapt a two-stage self-organizing map to cluster images in groups containing similar moving objects, thus identifying prominent objects which are then tracked in the sequence of chronologically ordered images. The framework was applied to weather satellite images to detect and classify seasonal variation tendencies.

多媒体数据挖掘是从多媒体对象中进行数据挖掘，从多媒体对象或对象集合中发现模式。这项研究致力于知识发现技术和应用的一些发展，特别是涉及到大型图像和视频数据集，如卫星图像和多维医学数据。主要论文“Mining of Moving Objects from Time Series Images and its Application to Satellite Weather Imagery”通过具体的例子解决了视频序列或场景中移动对象的挖掘问题。我们考虑静止图像的集合，特别是卫星图像，但是将图像序列考虑为帧来跟踪这些图像内的移动对象。我们采用两阶段自组织映射对包含类似移动对象的组中的图像进行聚类，从而识别出按时间顺序排列的图像序列中的突出对象。该框架被应用于气象卫星图像，以检测和分类季节变化趋势。

项目成果

片岡浩巳, 小西 修, 西田政明, 杉浦哲郎: "蛋白泳動波形情報のデータマイニングシステム"日本臨床検査自動化学会誌JJCLA. 26-3. 170-175 (2001)

Hiromi Kataoka、Osamu Konishi、Masaaki Nishida、Tetsuro Sugiura：“蛋白质电泳波形信息的数据挖掘系统”日本临床实验室自动化学会杂志 JJCLA 26-3（2001）。

R.Honda, Y.Iijima, and O.Konishi: "Mining of Topographic Feature from a Large-Scale Heterogeneous Planetary Imagery"Proc. Int. Workshop on Mining Scientific Datasets. SIGKDD' 01. 1-10 (2001)

R.Honda、Y.Iijima 和 O.Konishi：“从大规模异质行星图像中挖掘地形特征”Proc。

R.Honda, S.Wang, T.Kikuchi, O.Konishi: "Mining of Moving Objects from Time-Series Images and its Application to Satellite Weather Imagery"The Journal of Intelligent Information Systems. 19-1. 1-17 (2002)

R.Honda、S.Wang、T.Kikuchi、O.Konishi：“从时间序列图像中挖掘移动对象及其在卫星天气图像中的应用”智能信息系统杂志。

R.Honda, Y.Iijima, O.Konishi: "Mining of Topographic Feature from a Large-Scale Heterogeneous Planetary Imagery"Proc. Int. Workshop on Mining Scientific Datasets in conjunction with ACM-SIGKDD Conf. Sanfrancisco, CA.. SIGKDD'01. 1-10 (2001)

R.Honda、Y.Iijima、O.Konishi：“从大规模异质行星图像中挖掘地形特征”Proc。

片岡浩巳, 小西 修: "動的計画法-SOMに基づく類似波形検索システム"情報処理学会論文誌:データベース. 42-SIG(TOD11). 92-99 (2001)

Hiromi Kataoka、Osamu Konishi：“基于动态规划的相似波形检索系统 - SOM”日本信息处理学会会刊：数据库 42-SIG(TOD11)。